Advancing Hate Speech Detection - A Hybrid Approach Using Large Language Models and Graph Neural Networks

Jul 30, 2024 · 1 min read

Our project, “Advancing Speech Detection: A Hybrid Approach Using Large Language Models and Graph Neural Networks,” receives $400,000 in funding from the NSF. This initiative aims to improve the detection and moderation of hate speech in multilingual contexts to create safer online communities.

Role: PI

Funding Agency: NSF

Program: Computer and Network Systems (CNS)

Total Amount: $400K

Period: 01/2025 - 12/2026